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D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction

v1v2v3 (latest)

D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction

19 July 2019

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Papers citing "D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction"

10 / 10 papers shown

Denoising Refinement Diffusion Models for Simultaneous Generation of Multi-scale Mobile Network Traffic

Denoising Refinement Diffusion Models for Simultaneous Generation of Multi-scale Mobile Network Traffic

80

0

0

30 Oct 2025

ASurvey: Spatiotemporal Consistency in Video Generation

ASurvey: Spatiotemporal Consistency in Video Generation

EGVM VGen AI4TS

274

0

0

25 Feb 2025

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing

Likelihood-Free Estimation for Spatiotemporal Hawkes processes with missing data and application to predictive policing

Moulinath Banerjee

223

1

0

10 Feb 2025

A Survey of Generative AI for Intelligent Transportation Systems

A Survey of Generative AI for Intelligent Transportation Systems

214

17

0

13 Dec 2023

Towards Climate Variable Prediction with Conditioned Spatio-Temporal
Normalizing Flows

Towards Climate Variable Prediction with Conditioned Spatio-Temporal Normalizing Flows

Christina Winkler

232

0

0

12 Nov 2023

Adversarial Machine Learning in Text Analysis and Generation

Adversarial Machine Learning in Text Analysis and Generation

210

5

0

14 Jan 2021

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

Eric L. Manibardo

194

85

0

02 Dec 2020

Generative Adversarial Networks for Spatio-temporal Data: A Survey

Generative Adversarial Networks for Spatio-temporal Data: A Survey

Mohammad Saiedur Rahaman

GAN AI4TS AI4CE

402

124

0

18 Aug 2020

Deep Multi-View Spatiotemporal Virtual Graph Neural Network for
Significant Citywide Ride-hailing Demand Prediction

Deep Multi-View Spatiotemporal Virtual Graph Neural Network for Significant Citywide Ride-hailing Demand Prediction

293

13

0

30 Jul 2020

Generative Adversarial Networks (GANs Survey): Challenges, Solutions,
and Future Directions

Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future DirectionsACM Computing Surveys (ACM CSUR), 2020

648

379

0

30 Apr 2020